Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose novel variants of the edRVFL network. Weighted edRVFL (WedRVFL) uses weightin...

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書目詳細資料
Main Authors:	Shi, Qiushi, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Electrical and electronic engineering Weighting Methods Pruning
在線閱讀:	https://hdl.handle.net/10356/164112
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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